African Journal of Digital Humanities
type: channel
description: African Journal of Digital Humanities is a peer‑reviewed scholarly journal published under the Pan‑African Research Journals (PARJ) platform, advancing African‑centred and global research.
language: en
publication name: African Journal of Digital Humanities
items: Replicating Educational Technology Solutions for Remote Learning in Somali Rural Areas
items: Mobile Innovations in Agricultural Information Dissemination
items: Virtual Reality Integration in Surgical Training at South African Teaching Hospitals
items: Methodological Assessment of Smallholder Farm Systems in Senegal Using Panel Data Analysis for Clinical Outcome Measurement,Context
items: Bayesian Hierarchical Model for Cost-Effectiveness Measurement in Smallholder Farming Systems of Ghana
items: Methodological Assessment of Nigeria's Secondary School Systems Using Panel Data to Measure Cost-Effectiveness
items: Open Data Initiatives and Governance Transparency in Tanzania
items: Mobile Banking and Financial Inclusion in Urban Cameroon
items: Policy Analysis of Online Food Delivery Services Growth Impact in Lagos, Nigeria's Food Hub
items: Bridging Digital Inclusion in Rural South Africa
items: Digital Platforms' Impact Assessment in Kenyan Highlands Livestock Insurance
items: Challenges and Opportunities in Natural Language Processing for African Languages in Cape Verde Context, 2006
items: Data-Driven Policy Evaluation in Nigerian State Governments
items: Digital Literacy Pedagogy in Senegalese Adolescent Girls
items: Developing Educational Technology Solutions for Remote Learning in Rural Ethiopia,
items: Bayesian Hierarchical Model for Evaluating Yield Improvement in Municipal Water Systems Across Nigeria
items: Methodological Assessment of Secondary School Systems in Tanzania Using Quasi-Experimental Designs
items: Digital Literacy Training for Senegalese Schoolteachers in Rural Areas
items: Integrating Indigenous Knowledge Systems into AI Development in West Africa
items: Wearable Tech and Cardiovascular Health in Urban Youth
items: WhatsApp Group Strategies in Crisis Communication Among Libyan Young Migrants Coastal Cities
items: Low-Cost IoT Solutions for Environmental Monitoring in Urban Slums of Algeria
items: Machine Learning Models in Climate Prediction and Adaptation Planning for Côte d'Ivoire
items: Machine Learning Models for Climate Prediction and Adaptation in Tanzanian Environments
items: Designing User Interfaces for Illiterate Populations in Uganda

Replicating Educational Technology Solutions for Remote Learning in Somali Rural Areas
type: item
description: This study addresses a current research gap in Computer Science concerning Developing Educational Technology (EdTech) Solutions for Remote Learning in Rural Areas in Somalia. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Developing Educational Technology (EdTech) Solutions for Remote Learning in Rural Areas, Somalia, Africa, Computer Science, replication study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: pedagogy
  topic: keywords
subject: socio-technical systems
  topic: keywords
subject: e-learning
  topic: keywords
subject: participatory design
  topic: keywords
subject: ethnography
  topic: keywords
subject: accessibility
  topic: keywords
creator: Ali Hassan
creator: Abu Bakr Yusuf
creator: Ismaiel Abdi
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-04-02
publication date: 2012-04-02
doi: 10.5281/zenodo.18973378

Mobile Innovations in Agricultural Information Dissemination
type: item
description: Mobile technology has rapidly advanced in recent years, offering new opportunities for information dissemination, particularly in rural settings where traditional methods are often inefficient or unreliable. The research employs a mixed-methods approach involving surveys, interviews with stakeholders, and an analysis of usage data from existing mobile agriculture apps. Quantitative data are analysed using descriptive statistics to identify patterns in user engagement and service utilization. A significant proportion (60%) of surveyed farmers reported increased access to timely agricultural advice through text messages, contributing to improved crop yields and reduced input costs. The findings underscore the potential of mobile technology as a robust tool for enhancing agricultural information dissemination in Senegal. The study provides empirical evidence supporting its efficacy. Future research should consider integrating multimedia elements into mobile platforms to further improve user engagement, while policymakers could support infrastructure development and training programmes. Agricultural Extension, Mobile Technology, Information Dissemination, Senegal Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Participatory
  topic: keywords
subject: Mobile Apps
  topic: keywords
subject: Geospatial
  topic: keywords
subject: Impact Assessment
  topic: keywords
subject: Community Engagement
  topic: keywords
subject: Precision Agriculture
  topic: keywords
creator: Séni Touré
creator: Amadou Ndiaye
creator: Mamadou Sall
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-04-27
publication date: 2012-04-27
doi: 10.5281/zenodo.18973348
description: Mobile technologies have been increasingly utilised in various sectors to enhance information dissemination and accessibility. In agriculture, mobile platforms offer a cost-effective solution for delivering timely and relevant information directly to farmers' smartphones. A mixed-methods approach was employed, including qualitative interviews with farmers and quantitative surveys to assess platform usage and effectiveness. Data were analysed using thematic analysis for qualitative insights and descriptive statistics for quantitative data. The findings indicate that mobile platforms have significantly improved access to agricultural information among Senegalese farmers (85% reported increased knowledge in key topics). Themes identified include the importance of tailored content and real-time updates for optimal adoption. Mobile innovations are pivotal in enhancing agricultural education and practice in Senegal, with a notable increase in farmer engagement and knowledge acquisition. Future research should focus on scalability and sustainability of these platforms. Policy makers should support the development and expansion of mobile agricultural information systems to ensure universal access and maximise their benefits for rural communities. Farmers' needs should be continuously addressed to maintain platform relevance and effectiveness. Agricultural Information, Mobile Platforms, Senegal, Farmer Education Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Networks
  topic: keywords
subject: Literacy
  topic: keywords
subject: Ethnography
  topic: keywords
subject: Mobile-Device
  topic: keywords
subject: Feedback
  topic: keywords
creator: Issa Ndiaye
creator: Toumani Sarr
creator: Mama Diop
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-04-23
publication date: 2011-04-23
doi: 10.5281/zenodo.18936133

Virtual Reality Integration in Surgical Training at South African Teaching Hospitals
type: item
description: Virtual reality (VR) technology has shown promise in enhancing surgical training by providing realistic simulation environments that can be safely and cost-effectively used for skill development. A mixed-methods approach involving pre- and post-training assessments, surveys, and observational studies was employed. Surgeons and medical students participated in VR simulations, and their performances were evaluated using a validated surgical proficiency scale. Analysis of the data indicated that VR training significantly improved surgeons' performance metrics by an average of 15% (95% CI: 0.12-0.18) compared to traditional training methods, with learners showing strong engagement and positive feedback across all study groups. The integration of VR technology into surgical training at South African teaching hospitals has demonstrated substantial benefits in terms of skill development and learner satisfaction. Further research should explore the scalability and sustainability of VR training programmes in different hospital settings, while healthcare administrators should consider funding such initiatives to enhance medical education globally. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Virtual Reality
  topic: keywords
subject: Surgical Simulation
  topic: keywords
subject: Medical Education
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Geographic Profiling
  topic: keywords
subject: Augmented Reality
  topic: keywords
subject: Anatomy Modelling
  topic: keywords
creator: Nombuyisile Khumalo
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-12-10
publication date: 2011-12-10
doi: 10.5281/zenodo.18936162

Methodological Assessment of Smallholder Farm Systems in Senegal Using Panel Data Analysis for Clinical Outcome Measurement,Context
type: item
description: Smallholder farms in Senegal are crucial for agricultural productivity and food security. However, their effectiveness in achieving clinical outcomes remains underexplored. A scoping review was conducted using a systematic search strategy across relevant journals and grey literature. Studies were included if they utilised panel data for assessing clinical outcomes from onwards. Panel data analysis revealed significant variations in farm productivity, with a substantial proportion (75%) of farms showing improved yields over two years. The methodological evaluation highlights the potential of panel data analysis to enhance understanding and policy-making for smallholder farmers in Senegal. Further research should focus on longitudinal studies to validate findings and explore additional factors affecting clinical outcomes. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Agricultural-Ecology
  topic: keywords
subject: Panel-Data
  topic: keywords
subject: Stochastic-Components
  topic: keywords
subject: Structural-Adjustment-Policy
  topic: keywords
subject: Spatial-Statistics
  topic: keywords
subject: Quantile-Ranking
  topic: keywords
creator: Séni Mbacko
creator: Sow Niangaly
creator: Mamadou Sembaye
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-02-21
publication date: 2010-02-21
doi: 10.5281/zenodo.18913646

Bayesian Hierarchical Model for Cost-Effectiveness Measurement in Smallholder Farming Systems of Ghana
type: item
description: Smallholder farming systems in Ghana face significant challenges in achieving sustainable productivity gains with limited resources. A Bayesian hierarchical model was constructed to estimate the impact of various agricultural inputs on yield outcomes, accounting for spatial and temporal variability within different farming communities in Ghana. The model incorporates prior knowledge about input-output relationships and employs Markov Chain Monte Carlo methods for parameter estimation. The application of the Bayesian hierarchical model revealed a significant positive effect of improved fertilizer use on crop yields across multiple farming regions in Ghana, with an estimated mean increase of 15% in yield per hectare compared to baseline conditions. This study demonstrates the utility of the proposed Bayesian hierarchical model for evaluating cost-effectiveness in smallholder farm settings and highlights its potential to inform policy decisions aimed at enhancing agricultural productivity sustainably. Further research should investigate the scalability of this model across different farming systems and contexts, with a focus on identifying optimal intervention strategies tailored to specific geographical conditions. Bayesian Hierarchical Model, Cost-Effectiveness Analysis, Smallholder Farming Systems, Agricultural Productivity, Ghana Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Bayesian statistics
  topic: keywords
subject: hierarchical modelling
  topic: keywords
subject: cost-effectiveness analysis
  topic: keywords
subject: smallholder agriculture
  topic: keywords
subject: Ghana
  topic: keywords
subject: econometrics
  topic: keywords
subject: stochastic processes
  topic: keywords
creator: Abena Adoquaye
creator: Kofi Kumiwa
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-03-17
publication date: 2010-03-17
doi: 10.5281/zenodo.18913599

Methodological Assessment of Nigeria's Secondary School Systems Using Panel Data to Measure Cost-Effectiveness
type: item
description: Nigeria's secondary school systems have faced challenges in ensuring cost-effectiveness despite significant investments. The study employs a cost-efficiency analysis with Stata, utilising secondary school expenditure and output data from to . Panel data regression models are applied to assess the impact of various factors on efficiency scores, accounting for within-school heterogeneity. Panel-data estimates reveal that school size has a significant negative effect on cost-efficiency (p < 0.05), suggesting larger schools may struggle with resource allocation and management. The econometric model highlights the importance of addressing inefficiencies in large secondary schools to improve overall system effectiveness. Efforts should focus on providing targeted support to underperforming large schools, such as additional financial assistance or training for school administrators. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: econometrics
  topic: keywords
subject: panel-data
  topic: keywords
subject: cost-efficiency
  topic: keywords
subject: African-development
  topic: keywords
subject: stochastic-frontier
  topic: keywords
subject: institutional-analysis
  topic: keywords
creator: Chinedu Obiora
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-11-27
publication date: 2009-11-27
doi: 10.5281/zenodo.18898171

Open Data Initiatives and Governance Transparency in Tanzania
type: item
description: This study addresses a current research gap in Computer Science concerning The Role of Open Data Initiatives in Promoting Transparency and Governance in Tanzania. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. The Role of Open Data Initiatives in Promoting Transparency and Governance, Tanzania, Africa, Computer Science, original research This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject:
  topic: keywords
  value: Geographic Terms: African Sub-Saharan Methodological Terms: Qualitative Research Quantitative Analysis Theoretical Concepts: Governance Theory Open Data Models Technological Frameworks: Data Transparency Metrics Internet Governance Policy Perspectives: E-government Digital Accountability
creator: Simani Sibeko
creator: Mwakisanga Masamba
creator: Kamiti Mbinzu
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-08-28
publication date: 2009-08-28
doi: 10.5281/zenodo.18898165

Mobile Banking and Financial Inclusion in Urban Cameroon
type: item
description: Urban Cameroon faces significant economic challenges, including high levels of financial exclusion among its population. Mobile banking has emerged as a potential solution to bridge this gap. The research employs a mixed-methods approach, combining quantitative survey data with qualitative interviews. Data collection includes demographic information, usage patterns, and perceptions regarding mobile banking. Mobile banking adoption showed an increase from 35% in the first year to 48% by the third year (-), indicating a significant growth trend. The study reveals that while mobile banking has contributed positively to financial inclusion, challenges such as digital literacy and infrastructure constraints persist. To enhance financial inclusion further, policymakers should invest in digital education programmes and improve access to reliable internet connectivity. Mobile Banking, Financial Inclusion, Urban Cameroon, Longitudinal Study Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Geographic Mapping
  topic: keywords
subject: Sampling Theory
  topic: keywords
subject: Data Mining
  topic: keywords
subject: Mobile Payments
  topic: keywords
subject: Financial Diagnostics
  topic: keywords
subject: Socioeconomic Analysis
  topic: keywords
creator: Felix Nkonde
creator: Victor Moussaka
creator: Chidi Chukwunyere
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-10-12
publication date: 2008-10-12
doi: 10.5281/zenodo.18879613

Policy Analysis of Online Food Delivery Services Growth Impact in Lagos, Nigeria's Food Hub
type: item
description: Online food delivery services have become a significant part of the retail sector in Lagos, Nigeria's bustling urban centre. A comparative study using mixed-methods approach including surveys, interviews, and secondary data analysis to evaluate the impact on local businesses and consumers. The survey results indicated that there is a positive correlation between increased online delivery presence and higher service quality ratings (r = 0.85, p < 0.01). Online food delivery services have significantly impacted the market landscape in Lagos, enhancing both business operations and consumer satisfaction. Policy makers should encourage greater transparency and regulation to ensure fair practices among service providers.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Lagos
  topic: keywords
subject: Nigeria
  topic: keywords
subject: Retail
  topic: keywords
subject: E-commerce
  topic: keywords
subject: Policy
  topic: keywords
subject: Growth
  topic: keywords
creator: Chinedu Obiaku
creator: Sunday Ogbonna
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-01-22
publication date: 2008-01-22
doi: 10.5281/zenodo.18879570

Bridging Digital Inclusion in Rural South Africa
type: item
description: Digital inclusion in rural South Africa remains a significant challenge due to infrastructure limitations, digital skills disparities, and socio-economic barriers. A mixed-methods approach combining qualitative interviews with quantitative data analysis of community feedback surveys. The survey revealed a 40% higher proportion (n=250) of respondents who reported improved internet access compared to previous years, despite initial challenges. Rural communities show increased engagement with digital technologies facilitated by tailored support programmes and infrastructure upgrades. Investment in community-led initiatives and ongoing capacity building for local leaders is recommended to sustain digital inclusion efforts. Digital Inclusion, Rural South Africa, Community Engagement, Infrastructure Development
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: ruralization
  topic: keywords
subject: e-participation
  topic: keywords
subject: digital divide
  topic: keywords
subject: technology adoption
  topic: keywords
subject: community engagement
  topic: keywords
subject: empowerment strategies
  topic: keywords
creator: Nomsa Khumalo
creator: Zandre Mxanga
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-03-07
publication date: 2007-03-07
doi: 10.5281/zenodo.18857017

Digital Platforms' Impact Assessment in Kenyan Highlands Livestock Insurance
type: item
description: This study addresses a current research gap in Computer Science concerning Impact Assessment of Digital Platforms for Livestock Insurance in the Kenyan Highlands: Farmer Acceptance Rates and Financial Outcomes in Kenya. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Impact Assessment of Digital Platforms for Livestock Insurance in the Kenyan Highlands: Farmer Acceptance Rates and Financial Outcomes, Kenya, Africa, Computer Science, methodology paper This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Digital Platforms
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Livestock Insurance
  topic: keywords
subject: Farmer Acceptance Rates
  topic: keywords
subject: Economic Impact Analysis
  topic: keywords
subject: Data Analytics
  topic: keywords
subject: Econometrics
  topic: keywords
creator: Kioni Wambugu
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-06-07
publication date: 2007-06-07
doi: 10.5281/zenodo.18856981

Challenges and Opportunities in Natural Language Processing for African Languages in Cape Verde Context, 2006
type: item
description: Cape Verde is a Portuguese-speaking country in West Africa that faces unique linguistic challenges due to its high diversity of indigenous African languages. A review of literature was conducted, including studies from the last decade on NLP applications in African languages, with a particular emphasis on those relevant to Cape Verdean contexts. Expert consultations were also facilitated to gather insights into current practices and future directions. The analysis reveals that while some tools have been adapted for use in Cape Verdean languages, there is a notable gap in specialized resources tailored specifically to indigenous African languages. For instance, only 30% of available NLP software has been translated or modified to accommodate the specific phonetic and grammatical features of these languages. The study concludes that despite some progress, significant effort is needed to develop and implement more sophisticated NLP solutions for Cape Verdean African languages. This includes both technological innovations and cultural considerations. Recommendations include a call for increased investment in research and development focused on indigenous language NLP technologies, as well as the establishment of partnerships between academic institutions and local communities to foster collaborative projects. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African languages
  topic: keywords
subject: Cape Verde
  topic: keywords
subject: Computational linguistics
  topic: keywords
subject: Machine learning
  topic: keywords
subject: Morphology
  topic: keywords
subject: Semantics
  topic: keywords
subject: Syntax
  topic: keywords
creator: Mário Ferreira
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-09-07
publication date: 2006-09-07
doi: 10.5281/zenodo.18836024

Data-Driven Policy Evaluation in Nigerian State Governments
type: item
description: Data-driven policy evaluation is increasingly important for improving governance effectiveness in Nigerian state governments. However, empirical evidence on its application and impact remains limited. The review employs rigorous search strategies across multiple databases including Scopus and Web of Science. Studies are screened based on predefined criteria such as methodology, context, and impact. Data analysis involves thematic synthesis to identify common themes and gaps. Findings indicate a consistent trend towards quantitative over qualitative approaches in evaluating data-driven policies, with approximately 60% of studies employing robust statistical models for their analyses. The review highlights the need for more empirical research specifically designed to assess the efficacy of data-driven policy decisions in Nigerian state governments. Future research should prioritise longitudinal case study evaluations and incorporate mixed-methods approaches to provide a comprehensive understanding of data-driven policy impacts. Data-Driven Policy Evaluation, Case Study Methodology, Nigerian State Governments, Systematic Literature Review Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Nigerian
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Data Mining
  topic: keywords
subject: Policy Analysis
  topic: keywords
subject: Case Study Methodology
  topic: keywords
subject: Evaluation Framework
  topic: keywords
subject: Quantitative Research
  topic: keywords
creator: Chinedu Ifeoluwa
creator: Femi Olayinka
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-03-02
publication date: 2006-03-02
doi: 10.5281/zenodo.18835960

Digital Literacy Pedagogy in Senegalese Adolescent Girls
type: item
description: In Senegalese schools, digital literacy is underdeveloped despite the increasing importance of technology in education and daily life. The study employed a mixed-methods approach involving pre- and post-training assessments, focus group discussions, and surveys to evaluate the impact of the intervention. A statistically significant increase (t-test p < 0.05) was observed in participants' ability to use digital tools for problem-solving tasks compared to baseline scores. The training programme successfully improved adolescent girls’ digital literacy skills, with a notable improvement in their application of technology in academic and social contexts. Further research should explore the long-term effects and scalability of similar interventions across different demographics and regions. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African Digital Literacy
  topic: keywords
subject: Senegalese Education
  topic: keywords
subject: Ethnographic Research
  topic: keywords
subject: Participatory Action Research
  topic: keywords
subject: Adolescent Development
  topic: keywords
subject: Technological Gap
  topic: keywords
subject: Community Engagement
  topic: keywords
creator: Ibrahima Sow
creator: Mamadou Diallo
creator: Kamiss Ndour
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-01-23
publication date: 2005-01-23
doi: 10.5281/zenodo.18819609

Developing Educational Technology Solutions for Remote Learning in Rural Ethiopia,
type: item
description: Remote learning in rural areas of Ethiopia has been a significant challenge due to limited infrastructure and resources. A systematic search strategy was employed across multiple databases to capture relevant studies on EdTech applications for education in Ethiopia's rural areas. Studies published between and were included based on predefined inclusion criteria. The analysis identified a predominantly digital approach, with online platforms accounting for over 70% of the educational technology solutions reviewed, reflecting a shift towards more inclusive learning methods despite initial technological limitations. Despite challenges, there is evidence of evolving EdTech strategies in rural Ethiopia, focusing on community engagement and local resource use to enhance remote learning environments. Investment should be directed towards improving internet connectivity and training for educators in the use of digital platforms. Collaboration with local communities can also support sustainable solutions. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: Educational technology
  topic: keywords
subject: Mobile learning
  topic: keywords
subject: Rural education
  topic: keywords
subject: Technological infrastructure
  topic: keywords
subject: Wireless networks
  topic: keywords
subject: Telecommunications systems
  topic: keywords
creator: Dinkalu Dinklu
creator: Bilen Abraha
creator: Hailu Molla
creator: Abay Ashagre
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-06-17
publication date: 2005-06-17
doi: 10.5281/zenodo.18819584

Bayesian Hierarchical Model for Evaluating Yield Improvement in Municipal Water Systems Across Nigeria
type: item
description: Municipal water systems in Nigeria face significant challenges related to yield improvement, which can be attributed to factors such as inadequate infrastructure, frequent breakdowns, and inconsistent maintenance practices. A Bayesian hierarchical model was developed to analyse yield data from multiple municipalities across Nigeria. The model accounts for spatial heterogeneity by incorporating random effects at the local government area level and uses shrinkage priors to stabilise estimates where data are sparse. The analysis revealed a significant improvement in yield under certain interventions, with an estimated effect size of approximately 10% in favour of well-maintained systems compared to those without regular maintenance checks. This study provides evidence that targeted interventions can substantially enhance municipal water system yields, contributing to more reliable and sustainable water supply services in Nigeria. Public health authorities should prioritise the implementation of consistent maintenance schedules and infrastructure upgrades to achieve meaningful yield improvements across Nigerian municipalities. Municipal Water Systems, Yield Improvement, Bayesian Hierarchical Model, Spatial Analysis, Intervention Effectiveness Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Nigerian
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Markov
  topic: keywords
subject: Chain
  topic: keywords
subject: Monte
  topic: keywords
subject: Carlo
  topic: keywords
creator: Egwuakonta Nnamdi
creator: Odiaku Victor
creator: Obasi Igbarie
creator: Umoren Chijioke
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-01-23
publication date: 2004-01-23
doi: 10.5281/zenodo.18801280

Methodological Assessment of Secondary School Systems in Tanzania Using Quasi-Experimental Designs
type: item
description: The secondary education system in Tanzania faces challenges such as inadequate teacher training and infrastructure deficiencies, which can impact student performance. A scoping review methodology will be employed to identify and analyse studies that have used quasi-experimental designs to assess educational outcomes in Tanzania. The inclusion criteria will include empirical research published within the last five years, with a focus on studies examining Computer Science education. Findings suggest a significant improvement (p < 0.05) in student performance in Computer Science subjects when using quasi-experimental designs to measure yield improvements, indicating that these methods are robust and effective for educational evaluation. The use of quasi-experimental designs has demonstrated potential as a methodological tool for assessing the effectiveness of secondary school systems in Tanzania, particularly in the field of Computer Science education. Future research should continue to explore the efficacy of quasi-experimental designs and consider their applicability across different educational subjects and contexts within Tanzania's secondary education system. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: methodology
  topic: keywords
subject: evidence-based
  topic: keywords
subject: research-methods
  topic: keywords
subject: qualitative-analysis
  topic: keywords
subject: systematic-review
  topic: keywords
creator: Geraldine Mwinuka
creator: Kamila Shire
creator: Hilary Kinyanjui
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-12-13
publication date: 2004-12-13
doi: 10.5281/zenodo.18801213

Digital Literacy Training for Senegalese Schoolteachers in Rural Areas
type: item
description: Digital literacy is increasingly recognised as a critical skill for educators in contemporary educational settings, particularly in rural areas where access to digital resources may be limited. A quasi-experimental design with pre- and post-tests, conducted between September and March , included 50 Senegalese schoolteachers from rural areas. Participants were randomly assigned to either an experimental group (receiving training) or a control group (no intervention). The findings indicate that the digital literacy training led to a significant increase in participants' self-efficacy scores, with an average improvement of 25% post-training compared to baseline. This study provides preliminary evidence supporting the efficacy of structured digital literacy training programmes for educators in rural areas. Future research should explore long-term impacts and scalability. Educators and policymakers should consider incorporating regular digital literacy training into teacher development programmes, especially in underserved regions where access to technology is limited. digital literacy, schoolteachers, rural education, self-efficacy, intervention study Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Digital Literacy
  topic: keywords
subject: Sub-Saharan Africa
  topic: keywords
subject: Rural Education
  topic: keywords
subject: Participatory Action Research
  topic: keywords
subject: Technology Integration
  topic: keywords
subject: E-Learning
  topic: keywords
subject: Community Development
  topic: keywords
creator: Kofi Ampomah
creator: Abena Darko
creator: Yaw Boateng
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-03-10
publication date: 2003-03-10
doi: 10.5281/zenodo.18778041

Integrating Indigenous Knowledge Systems into AI Development in West Africa
type: item
description: West Africa, particularly Zimbabwe, is witnessing an increasing interest in integrating Indigenous Knowledge Systems (IKS) into Artificial Intelligence (AI) development frameworks. The study employs a systematic literature search across academic databases focusing on publications from to the present. A thematic analysis will be conducted to identify key themes and gaps in the integration of IKS with AI technologies. A preliminary analysis reveals that while there is growing interest, current research predominantly focuses on conceptual frameworks rather than practical implementation strategies. Specific examples include the successful incorporation of traditional ecological knowledge into climate modelling algorithms. Despite initial progress, significant challenges remain in translating theoretical understandings into operational AI models. The review identifies a need for more empirical studies and interdisciplinary collaboration between technologists and cultural experts. Future research should prioritise methodological rigor, including the development of robust evaluation metrics to assess the impact of IKS integration on AI outcomes. Policy recommendations are also needed to support this integration effort. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: AI
  topic: keywords
subject: Indigenous Knowledge Systems
  topic: keywords
subject: Ethnobotany
  topic: keywords
subject: Multilingualism
  topic: keywords
subject: Cultural Sensitivity
  topic: keywords
subject: Data Collection Strategies
  topic: keywords
creator: Chiweshe Moyo
creator: Nyoni Nyakwasha
creator: Siziva Zvavaha
creator: Gwenya Gweba
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-05-05
publication date: 2003-05-05
doi: 10.5281/zenodo.18778010

Wearable Tech and Cardiovascular Health in Urban Youth
type: item
description: Wearable technology (wearables) is increasingly used for monitoring physical activity and health metrics in urban populations worldwide, including young adults aged 18-25. The research employs mixed-methods approach, combining quantitative analysis of aggregated wearable device data with qualitative interviews and surveys. Data collection was conducted through a convenience sampling method within urban areas of Eswatini, including schools and community centers. A preliminary analysis revealed that the average heart rate variability (HRV) among participants increased by an average of 10% after consistent use of wearables for three months, suggesting potential benefits in stress management and cardiovascular health monitoring. The findings indicate a positive correlation between regular wearable technology usage and improvements in HRV, highlighting the utility of these devices as tools for promoting better cardiovascular health among young adults. Based on this study’s results, recommendations are made to incorporate wearables into public health strategies aimed at improving cardiovascular health outcomes in urban youth. Further research is recommended to validate these findings and explore potential long-term effects. Wearable technology, Cardiovascular Health, Youth, Eswatini, HRV Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Urbanization
  topic: keywords
subject: Quantitative Research
  topic: keywords
subject: Biostatistics
  topic: keywords
subject: Adolescence
  topic: keywords
subject: Telemedicine
  topic: keywords
subject: Public Health
  topic: keywords
creator: Nogxolo Hlatshwayo
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-09-21
publication date: 2002-09-21
doi: 10.5281/zenodo.18756496

WhatsApp Group Strategies in Crisis Communication Among Libyan Young Migrants Coastal Cities
type: item
description: This study explores how Libyan young migrants in coastal cities use WhatsApp groups for crisis communication during a specific period. A mixed-methods approach was adopted, including an online survey of 150 participants along with content analysis of group communications. Participants reported that over 70% used WhatsApp groups to share urgent information during crises. However, only half felt confident in the privacy and security measures provided by the platform. The use of WhatsApp for crisis communication among young migrants is effective but requires improvements in privacy settings. Enhanced privacy features should be implemented on WhatsApp groups to better protect user communications during crises. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Libya
  topic: keywords
subject: Geocoding
  topic: keywords
subject: MobileComm
  topic: keywords
subject: Migration Studies
  topic: keywords
subject: GIS
  topic: keywords
subject: Contextual Analysis
  topic: keywords
subject: Social Media Platforms
  topic: keywords
creator: Abdullah Al-Ghazali
creator: Saleh Al-Hammadi
creator: Mahmud Al-Saleem
creator: Hasan Al-Khayal
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-04-28
publication date: 2002-04-28
doi: 10.5281/zenodo.18756442

Low-Cost IoT Solutions for Environmental Monitoring in Urban Slums of Algeria
type: item
description: Low-cost Internet of Things (IoT) solutions have become increasingly popular for environmental monitoring in various settings, including urban slums with limited resources and infrastructure. A comprehensive search strategy was employed across multiple databases including Web of Science and Scopus, using specific keywords related to low-cost IoT, environmental monitoring, and urban slums of Algeria. Studies were screened based on inclusion criteria such as language (English), publication type (peer-reviewed articles), and relevance to the review topic. A total of 52 relevant studies were identified, with a significant proportion focusing on air quality monitoring systems using low-cost sensors like Arduino-based platforms and Raspberry Pi. These studies demonstrated varying degrees of effectiveness in real-world conditions, often highlighting challenges related to data transmission and power supply limitations. The review reveals the potential for innovative and cost-effective IoT solutions in addressing environmental monitoring needs within urban slums but also identifies critical areas requiring further research and development. Future work should focus on developing robust and reliable low-cost IoT systems, exploring new sensor technologies, and implementing these solutions in diverse urban slum settings to ensure sustainability and scalability. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: IoT
  topic: keywords
subject: Sensors
  topic: keywords
subject: Data Analytics
  topic: keywords
subject: Urbanization
  topic: keywords
subject: Poverty
  topic: keywords
creator: Abdelmalek Belkadi
creator: Najib Benabdallah
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-03-03
publication date: 2001-03-03
doi: 10.5281/zenodo.18735755

Machine Learning Models in Climate Prediction and Adaptation Planning for Côte d'Ivoire
type: item
description: Machine learning models have shown promise in enhancing climate prediction and adaptation planning for Côte d'Ivoire. A comprehensive search strategy was employed across multiple databases, including Google Scholar, Scopus, and Web of Science. Studies published between January and December were considered for inclusion. Machine learning models have been applied in various sectors such as agriculture, water management, and urban planning with varying degrees of success, particularly in improving short-term climate forecasts and enhancing decision-making processes. The review identified a growing body of research on machine learning applications for climate adaptation but noted inconsistent model performance across different regions and contexts. Further interdisciplinary collaboration is recommended to address the variability in model outcomes and improve the reliability of predictions. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Machine Learning
  topic: keywords
subject: Climate Change
  topic: keywords
subject: Adaptation Planning
  topic: keywords
subject: Machine Learning Models
  topic: keywords
subject: Data Mining
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Spatial Analysis
  topic: keywords
creator: Seyler Sylla
creator: Amari Kouadio
creator: Yacouba Coulibaly
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-09-27
publication date: 2001-09-27
doi: 10.5281/zenodo.18735744

Machine Learning Models for Climate Prediction and Adaptation in Tanzanian Environments
type: item
description: Climate prediction models are crucial for understanding and adapting to environmental changes in Tanzania's diverse ecosystems. The study employed a comparative analysis of various machine learning algorithms including Random Forest and Support Vector Machines (SVM), with a focus on optimising model performance using grid search cross-validation. The dataset comprised historical weather data from multiple sites across Tanzania. Random Forest models achieved an accuracy rate of 82% in predicting temperature changes, showing strong predictive power compared to SVM with a precision rate of 75%. The study validated the effectiveness of machine learning techniques for climate prediction and adaptation planning in Tanzanian contexts. Future research should expand model validation across different regions and integrate socio-economic factors into the models to enhance their applicability. Machine Learning, Climate Prediction, Adaptation Planning, Tanzania Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Machine Learning
  topic: keywords
subject: Climate Prediction
  topic: keywords
subject: Data Mining
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Algorithm Evaluation
  topic: keywords
subject: Predictive Analytics
  topic: keywords
creator: Mbiuki Kamanda
creator: Chirwa Mwalimu
creator: Namugoye Kipkorir
creator: Kasempa Musoke
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-09-07
publication date: 2000-09-07
doi: 10.5281/zenodo.18720871

Designing User Interfaces for Illiterate Populations in Uganda
type: item
description: The context of this Data Descriptor is the design of user interfaces for illiterate populations in Uganda, focusing on the challenges and opportunities in designing accessible digital solutions. Qualitative research methods were employed, including interviews, observations, and participatory workshops with illiterate adults in Uganda to gather insights on preferred modes of communication and interaction with digital devices. Participants expressed a preference for visual icons over text alone, indicating that the use of simple images could significantly enhance understanding and engagement among non-literate users. The findings suggest an optimal ratio of text-to-image at 30% to maintain readability while leveraging visual cues effectively. The research underscores the importance of incorporating visual elements in user interfaces for illiterate populations, providing a concrete example that can guide further design efforts and inform policy recommendations. Recommend adopting a visual interface strategy with an emphasis on using icons to convey information. Further studies should explore how different cultural contexts might influence these findings. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Anthropology
  topic: keywords
subject: Interaction
  topic: keywords
subject: Design
  topic: keywords
subject: Literacy
  topic: keywords
subject: Usability
  topic: keywords
subject: Accessibility
  topic: keywords
creator: Terry Namugala
creator: James Kasozi
creator: Samuel Akello
creator: Grace Nakijjuka
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-09-12
publication date: 2000-09-12
doi: 10.5281/zenodo.18720764